R é um ambiente computacional e uma linguagem de programação cuja popularidade vem crescendo rapidamente. O R é especialista em manipulação, análise e visualização gráfica de dados. Na atualidade é considerado o melhor ambiente computacional para essa finalidade e vem ganhando muitos seguidores no mundo. O ambiente está disponível para diferentes sistemas operacionais: Unix/Linux, Mac e Windows. Na internet você encontra grande quantidade de literatura para aprender R, eis algumas sugestões:

• https://cran.r-project.org/doc/contrib/
• https://bookdown.org/

Tem interesse em aprender Aprendizagem de Máquina (ou aprendizagem automática ou também aprendizado de máquina ou machine learning? O Google disponibilizou um curso online de AM e AI (Artificial Intelligence). O curso é gratuito e está disponível em Machine Learning Crash Course e tem cerca de 15 horas de duração em videoaulas e traz mais de 40 aplicações práticas. O Learn with Google AI tem como objetivo fornecer acesso ao que há de mais avançado para ajudar desenvolvedores que tenham interesse em trabalhar com inteligência artificial. Apesar de não ter nenhum tipo de pré-requisito, a Google alerta que talvez seja melhor entender conceitos básicos de programação em Python antes de encarar o curso. Novos cursos sobre o tema deverão ser publicados dentro da plataforma em breve.

Por solicitação de alguns estudantes, vou tentar escrever algumas publicações em português. Vamos lá!

Statistical software are specialized computer programs for statistical analysis.

Open source

• ADaMSoft – a generalized statistical software with Data mining algorithms and methods for data management.
• ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation.
• Bayesian Filtering Library
• Chronux – for neurobiological time series data
• DAP – A free replacement for SAS
• ELKI a software framework for development of data mining algorithms in Java.
• Fityk – nonlinear regression software (GUI and command line)
• gretl – gnu regression, econometrics and time-series Library
• JAGS – Just another Gibbs sampler (JAGS) is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) developed by Martyn Plummer. It is similar to WinBUGS.
• JHepWork – Java-based statistical analysis framework for scientists and engineers. It includes an advanced IDE and Jython shell.
• JMulTi
• Octave – programming language (very similar to Matlab) with statistical features
• Mondrian (software) – data analysis tool using interactive statistical graphics with a link to R.
• OpenBUGS
• OpenEpi – A web-based, open source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML
• OpenMx – A package for Structural equation modeling running in R.
• Orange, a machine learning and bioinformatics software
• Ploticus – software for generating a variety of graphs from raw data
• PSPP – A free software replacement for SPSS
• R – A free implementation of the S language.
• R Commander – GUI interface for R\
• Revolution Analytics – Production-grade software for the enterprise big data analytics
• RapidMiner, a machine learning toolbox
• Rattle GUI – GUI interface for R
• S2^[1] – Derived from Salstat, it has a graphical user interface but it can also be scripted by using python, it can make charts as bar chart – ternary plot – Box plot etc. Licenced under GPL3.
• Salstat – Menu driven statistics software
• Scilab – uses GPL compatible CeCILL license
• SciPy (a Python library for scientific computing) contains the stats sub-package which is partly based on the venerable |STAT (a.k.a. PipeStat, formerly UNIX|STAT) software
  • scikit-learn extends SciPy with a host of machine learning models (classification, clustering, regression, etc.)
• Shogun, an open source Large Scale Machine Learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, Matlab, Python, R
• Simfit – Simulation, curve fitting, statistics, and plotting
• SOCR
• SOFA Statistics – a desktop GUI program focused on ease of use, learn as you go, and beautiful output.
• Statistical Lab – R-based and focusing on educational purposes
• Weka is also a suite of machine learning software written at the University of Waikato.
• Xlisp-stat

Public domain

• Demetra+
• CSPro
• Epi Info
• X-12-ARIMA

Freeware

• BV4.1
• GeoDA
• MicrOsiris is a Windows software which like IDAMS derives from OSIRIS, the statistical software package developed by the Institute for Social Research of the University of Michigan.
• MINUIT
• WinBUGS – Bayesian analysis using Markov chain Monte Carlo methods
• Winpepi – package of statistical programs for epidemiologists
• IDAMS/WinIDAMS

Proprietary

• ADAPA – batch and real-time scoring of statistical models
• Analytica – visual analytics and statistics package
• Angoss
• ASReml – for restricted maximum likelihood analyses
• BMDP – general statistics package
• CalEst – general statistics and probability package with didactic tutorials
• Data Applied – for building statistical models
• DPS – comprehensive statistics package
• EViews – for econometric analysis
• FAME – a system for managing time series statistics and time series databases
• GAUSS – programming language for statistics
• Genedata Analyst– software solution for the integration and interpretation of experimental data in the life science R&D
• GenStat – general statistics package
• GLIM – early package for fitting generalized linear models
• GraphPad InStat – Very simple with lots of guidance and explanations
• GraphPad Prism – Biostatistics and nonlinear regression with clear explanations
• Izenda – Self-service data analysis over HTML5
• IMSL Numerical Libraries – software library with statistical algorithms
• JMP – visual analysis and statistics package
• LISREL – statistics package used in structural equation modeling
• Maple – programming language with statistical features
• Mathematica – programming language with statistical features
• MATLAB – programming language with statistical features
• MedCalc – for biomedical sciences
• Minitab – general statistics package
• MLwiN – multilevel models (free to UK academics)
• NCSS – general statistics package
• NMath Stats – statistical package for .NET Framework
• O-Matrix – programming language
• OriginPro – statistics and graphing, programming access to NAG library
• Partek – general statistics package with specific applications for genomic, HTS, and QSAR data
• Primer-E Primer – environmental and ecological specific.
• PV-WAVE – programming language comprehensive data analysis and visualization with IMSL statistical package
• Q research software – quantitative data analysis software for market research
• Quantum – part of the SPSS MR product line, mostly for data validation and tabulation in Marketing and Opinion Research
• RATS – comprehensive econometric analysis package
• SAS – comprehensive statistical package
• SHAZAM – comprehensive econometrics and statistics package
• Simul – econometric tool for multidimensional (multi-sectoral, multi-regional) modelling
• SigmaStat – for group analysis
• SOCR – online tools for teaching statistics and probability theory
• Speakeasy – numerical computational environment and programming language with many statistical and econometric analysis features
• SPSS – comprehensive statistics package
• Stata – comprehensive statistics package
• Statgraphics – general statistics package
• STATISTICA – comprehensive statistics package
• StatXact – package for exact nonparametric and parametric statistics
• Systat – general statistics package
• S-PLUS – general statistics package
• Unistat – general statistics package that can also work as Excel add-in
• The Unscrambler (free-to-try commercial Multivariate analysis software for Windows)
• Visual-XSel – special software for Reliability and DoE
• XploRe

Add-ons

• Analyse-it – add-on to Microsoft Excel for statistical analysis
• EngineRoom – add-on to Microsoft Excel for statistical and graphical analysis
• NumXL – add-on to Microsoft Excel for general statistics and Econometrics
• SigmaXL – add-on to Microsoft Excel for statistical and graphical analysis
• SPC XL – add-on to Microsoft Excel for general statistics
• Stats Helper – add-on to Microsoft Excel for descriptive statistics and Six Sigma
• SUDAAN – add-on to SAS and SPSS for statistical surveys
• XLfit add-on to Microsoft Excel for curve fitting and statistical analysis

See also

• Comparison of statistical packages
• Econometric software
• Free statistical software
• Mathematical software
• List of computer algebra systems
• List of graphing software
• List of numerical analysis software
• List of numerical libraries

References

1. ^ http://code.google.com/p/salstat-statistics-package-2/

External links

• Statistics software at the Open Directory Project